| --- |
| license: apache-2.0 |
| base_model: facebook/convnext-large-224-22k-1k |
| tags: |
| - generated_from_trainer |
| datasets: |
| - amazonian_fish_classifier_data |
| metrics: |
| - accuracy |
| model-index: |
| - name: image_classification |
| results: |
| - task: |
| name: Image Classification |
| type: image-classification |
| dataset: |
| name: amazonian_fish_classifier_data |
| type: amazonian_fish_classifier_data |
| config: default |
| split: train |
| args: default |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.9332247557003257 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # image_classification |
| |
| This model is a fine-tuned version of [facebook/convnext-large-224-22k-1k](https://huggingface.co/facebook/convnext-large-224-22k-1k) on the amazonian_fish_classifier_data dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2562 |
| - Accuracy: 0.9332 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 7e-05 |
| - train_batch_size: 17 |
| - eval_batch_size: 17 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 145 | 0.6864 | 0.8420 | |
| | No log | 2.0 | 290 | 0.5780 | 0.8306 | |
| | No log | 3.0 | 435 | 0.4466 | 0.8860 | |
| | 0.7812 | 4.0 | 580 | 0.3810 | 0.8958 | |
| | 0.7812 | 5.0 | 725 | 0.4124 | 0.8860 | |
| | 0.7812 | 6.0 | 870 | 0.3617 | 0.9007 | |
| | 0.3315 | 7.0 | 1015 | 0.3397 | 0.8990 | |
| | 0.3315 | 8.0 | 1160 | 0.3746 | 0.9055 | |
| | 0.3315 | 9.0 | 1305 | 0.3379 | 0.9023 | |
| | 0.3315 | 10.0 | 1450 | 0.3825 | 0.8958 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.33.3 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
|
|
